Specimen Annotation
Specimen Annotation - Related Videos
08:09
Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
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Cited by 8 •
2012
Combination of genomics, co-expression gene analysis and the identification of target compounds via metabolism give gene functional annotation.
03:36
Genome Annotation and Assembly
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2021
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
06:16
mirMachine: A One-Stop Shop for Plant miRNA Annotation
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Cited by 11 •
2021
Herein, we present a new and fully automated miRNA pipeline, mirMachine that 1) can identify known and novel miRNAs more accurately and 2) is fully automated and freely available. Users can now execute a short submission script to run the fully automated mirMachine pipeline.
08:12
Brain Banking: Making the Most of your Research Specimens
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Cited by 21 •
2009
Brain banking and systematic sampling of biological material provides the basis for unbiased stereology and maximizes the potential data obtained from each specimen.
07:15
A Novel Method for In Situ Electromechanical Characterization of Nanoscale Specimens
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Cited by 2 •
2017
Isolating electrical and thermal effects on electrically assisted deformation (EAD) is very difficult using macroscopic samples. Metallic sample micro- and nanostructures together with a custom test procedure have been developed to evaluate the impact of applied current on the formation without joule heating and evolution of dislocations on these samples.
FAQs
Metadata gives a specimen its interpretive context. Recording the specimen type, collection site, collection time, relevant findings, and associated analytical results allows a laboratory or researcher to distinguish samples that might otherwise appear similar. These details support review of findings in relation to the clinical case while preserving the information needed for later organization and comparison.
Traceability depends on maintaining links between the sample, its identifiers, its clinical context, and its analytical results. When those relationships remain intact, users can follow how a specimen was characterized and how findings relate to it. This supports quality control and diagnostic review, because inconsistencies or unclear provenance can be recognized rather than silently entering later interpretation.
Standardized identifiers reduce ambiguity when specimens move between laboratories or appear in shared datasets. They create a consistent reference for the sample and its associated metadata, helping different users interpret records in the same way. This consistency improves communication, supports data organization, and makes annotated information more suitable for medical education, computational analysis, and future biomarker studies.
In pathology, annotation can extend beyond the specimen record to mark regions or abnormalities within an image. Those localized descriptions connect a visible feature to the broader specimen and its clinical context, rather than treating the image as an undifferentiated file. The result is a more structured basis for diagnostic review, teaching materials, and computational analysis of medically relevant regions.
An effective workflow brings together the specimen’s standardized identifier, type, collection site, collection time, relevant findings, and links to analytical results. Structured descriptions can then be attached to the sample or, in pathology, to image regions or abnormalities. Keeping these elements together preserves context across investigation, review, and later data organization.
Medical laboratories can use specimen annotation to support diagnostic review and quality control. Reviewers can examine whether the recorded sample information and findings remain coherent with the associated analytical results, while organized descriptions make communication clearer between laboratories. The value is not only administrative: consistent records help preserve evidence needed when results are revisited or compared.
Annotated specimens provide organized material for medical education, computational analysis, and biomarker research. In educational settings, descriptions can clarify what learners should examine; in computational work, structured features can support dataset construction; and in future biomarker studies, linked clinical and analytical information helps researchers preserve the context surrounding each sample.